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作 者:吴远红[1] 张建科[1] WU Yuan-hong,ZHANG Jian-ke (School of Mathematics, physics & Information Science ,Zhejiang Ocean University, Zhoushan 316004, China)
机构地区:[1]浙江海洋学院数理与信息学院,浙江舟山316004
出 处:《电脑知识与技术》2010年第7期5207-5208,共2页Computer Knowledge and Technology
基 金:浙江省教育厅项目(Y200908579)资助
摘 要:通过主题提取进行海洋信息词典的构建,利用已有的向量空间模型进行海洋信息相关度计算,设计了成员引擎的调度方法,并结合主题相关度和邻居协同推荐算法对结果综合排序,搭建了一个面向海洋信息的个性化元搜索引擎。减少了搜索结果的信息量,提高了信息搜索的准确率。The marine information dictionary is constructed through the subject words extracting.The marine-information-related degree is computed by using the space vector algorithm. The scheduling of single search engines is designed. A new personalized rank method based on both subject related degree and a collaborative recommendation algorithm is proposed. Finally, an personalized meta search engine oriented the marine-information is set up. The amount of information search results is reduced and the accuracyof professional information search is improved.
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